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This document provides notes on machine learning techniques including linear regression, generalized linear regression, regularized regression, and logistic regression. Linear regression aims to model the relationship between variables to predict outcomes. Multiple linear regression extends this to include multiple predictor variables. Regularized regression adds constraints to prevent overfitting. Logistic regression is used for classification problems to predict probabilities of binary outcomes. Model sel

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